Evidence map›Paper›PMID 12754238›Full record

ArticleJournal of bacteriology2003

Modeling bacterial evolution with comparative-genome-based marker systems: application to Mycobacterium tuberculosis evolution and pathogenesis.

David Alland, Thomas S Whittam, Megan B Murray, M Donald Cave, Manzour H Hazbon, Kim Dix, Mark Kokoris, Andreas Duesterhoeft, Jonathan A Eisen, Claire M Fraser and 1 more

Abstract readComparative Study
In one paragraph

Article in Journal of bacteriology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

  1. Laboratory Diagnosis of Human Brucellosis.Clinical microbiology reviews · 2019
    Review
  2. Article
  3. Long-range dispersal movedMicrobial genomics · 2016
    Article
  4. Article
  5. Article
  6. Using biological networks to improve our understanding of infectious diseases.Computational and structural biotechnology journal · 2014
    Review
  7. Article
  8. Cough aerosols of Mycobacterium tuberculosis predict new infection: a household contact study.American journal of respiratory and critical care medicine · 2013
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

David AllandDepartment of Medicine, Center for Emerging Pathogens, New Jersey Medical School, Newark, New Jersey 07103, USA. allandda@umdnj.edu
Thomas S Whittam
Megan B Murray
M Donald Cave
Manzour H Hazbon
Kim Dix
Mark Kokoris
Andreas Duesterhoeft
Jonathan A Eisen
Claire M Fraser
Robert D Fleischmann

Funding

POPULATION BASED INVESTIGATIONS OF TUBERCULOSISR01AI046669 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2000 to 2004
$2.5M
TUBERCULOSIS GENOTYPING AND EVOLUTIONARY CONSORTIUMR01AI049352 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2002 to 2005
$2.0M
COMPLETE GENOME SEQUENCE OF MYCOBACTERIUM TUBERCULOSISR01AI040125 · NIAID · INSTITUTE FOR GENOMIC RESEARCH · PI FLEISCHMANN, ROBERT D · 1996 to 1998
–
NIAID NIH HHS AI40125NIAID NIH HHS AI46669NIAID NIH HHS AI49352NIAID NIH HHS R01 AI046669NIAID NIH HHS R01 AI049352
6 · The paper itself

Abstract

The comparative-genomic sequencing of two Mycobacterium tuberculosis strains enabled us to identify single nucleotide polymorphism (SNP) markers for studies of evolution, pathogenesis, and epidemiology in clinical M. tuberculosis. Phylogenetic analysis using these "comparative-genome markers" (CGMs) produced a highly unusual phylogeny with a complete absence of secondary branches. To investigate CGM-based phylogenies, we devised computer models to simulate sequence evolution and calculate new phylogenies based on an SNP format. We found that CGMs represent a distinct class of phylogenetic markers that depend critically on the genetic distances between compared "reference strains." Properly distanced reference strains generate CGMs that accurately depict evolutionary relationships, distorted only by branch collapse. Improperly distanced reference strains generate CGMs that distort and reroot outgroups. Applying this understanding to the CGM-based phylogeny of M. tuberculosis, we found evidence to suggest that this species is highly clonal without detectable lateral gene exchange. We noted indications of evolutionary bottlenecks, including one at the level of the PHRI "C" strain previously associated with particular virulence characteristics. Our evidence also suggests that loss of IS6110 to fewer than seven elements per genome is uncommon. Finally, we present population-based evidence that KasA, an important component of mycolic acid biosynthesis, develops G312S polymorphisms under selective pressure.

Indexed as

Computer SimulationEvolution, MolecularPolymorphism, Single NucleotideBacterial ProteinsComputational BiologyDNA Transposable ElementsGenome, BacterialHumansMycobacterium tuberculosisPhylogenyPolymorphism, GeneticBacterial ProteinsDNA Transposable Elements

Identifiers

PMID12754238
PMCPMC155390

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.